Feb. 9, 2024, 5:46 a.m. | Qianchen Mao Qiang Li Bingshu Wang Yongjun Zhang Tao Dai C. L. Philip Chen

cs.CV updates on arXiv.org arxiv.org

In recent years, the detection of infrared small targets using deep learning methods has garnered substantial attention due to notable advancements. To improve the detection capability of small targets, these methods commonly maintain a pathway that preserves high-resolution features of sparse and tiny targets. However, it can result in redundant and expensive computations. To tackle this challenge, we propose SpirDet, a novel approach for efficient detection of infrared small targets. Specifically, to cope with the computational redundancy issue, we employ …

attention capability cs.cv deep learning detection features small targets

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